Recently, a new study indicated that even advanced AI language models, such as OpenAI's latest o1-preview, struggle with complex planning tasks. This study was conducted by scientists from Fudan University, Carnegie Mellon University, ByteDance, and Ohio State University, testing the performance of AI models on two planning benchmarks: BlocksWorld and TravelPlanner. In the classic planning scenario of BlocksWorld...

The social networking platform X (formerly Twitter) updated its privacy policy on Wednesday, sparking widespread attention and discussion. The new policy indicates that X will, by default, allow third-party "partners" to use platform data to train AI models unless users actively choose to opt out. This move not only highlights X's efforts to seek new revenue sources but also raises concerns regarding user data privacy protection. Key changes in the new policy include: Third-party data usage: New terms allow third-party partners to use X user data, including for AI model training. Users have the option to choose.

French AI startup Mistral has recently announced the launch of a new series of generative AI models, specifically designed for edge devices such as laptops and mobile phones. Mistral has named this series 'Les Ministraux' to meet the growing demand for local processing and privacy-first solutions. The newly released Les Ministraux series includes two models: Ministral3B and Ministral8B.

Recently, an AI model compliance checking tool developed by the Swiss startup LatticeFlow has drawn widespread attention. The tool tested generative AI models developed by several major tech companies, including Meta and OpenAI, revealing significant shortcomings in key areas such as cybersecurity and biased outputs. Image source note: The image was generated by AI, licensed by image service provider Midjourney since OpenAI released ChatGPT at the end of 2022.

Recently, Japan-based startup Rhymes AI unveiled their first artificial intelligence model — Aria. The company claims that Aria is the world's first open-source multimodal mixture of experts (MoE) model. This model not only possesses the capability to handle various input modalities but also claims to be on par with, or even superior to, several well-known commercial models. The design philosophy of Aria aims to provide exceptional understanding and processing capabilities across diverse input forms including text, code, images, and videos.

Li Feifei's startup World Labs announced an agreement with Google Cloud to choose Google Cloud as its primary computing provider for training AI models. The deal could be worth hundreds of millions of dollars. World Labs will utilize the GPU server capabilities on the Google Cloud platform to provide computational services for its large multimodal AI models. The company's AI model is referred to as 'Spatial Intelligence', capable of processing and managing various data.

Recently, Apple's AI research team launched their next-generation family of Multimodal Large Language Models (MLLMs) - MM1.5. This series of models can integrate various data types such as text and images, showcasing new capabilities of AI in understanding complex tasks. Tasks like visual question answering, image generation, and multimodal data interpretation can be better addressed with the help of these models. A major challenge for multimodal models is how to achieve effective interaction between different data types. Previous models often struggled in this aspect.

Meta has recently confirmed that photos and videos taken by users using Ray-Ban Meta smart glasses may be used to train its AI models. This practice has raised concerns as users may not be aware that they are providing Meta with a substantial amount of images for training its AI models, which could include their home interiors, family members, or personal documents. Emil Vazquez, Meta's policy communications manager, stated that in regions where multimodal AI is available, ...

Cohere recently announced the launch of its next-generation application programming interface (API) for AI models, referred to as API V2, which includes models such as Chat, Embed, Rerank, and Classify. Cohere has made it clear that this update is aimed at better aligning with industry standards to facilitate developers in switching their applications to Cohere's models, especially in comparison to OpenAI, Anthropic, Google, and others.

Recently, teams from Cambridge University and others published a groundbreaking paper that reveals the true nature of large models (LLMs), providing an in-depth analysis of the actual performance of current large language models (LLMs). The results are shocking — these AI models, once highly anticipated, perform far below expectations on many basic tasks. The study conducted a comprehensive evaluation of several cutting-edge models, including o1-preview. The findings indicate significant discrepancies in understanding capabilities between AI models and humans. Surprisingly, the models struggle with tasks that humans excel at.

Recently, the artificial intelligence platform Hugging Face announced that the number of publicly available AI models has exceeded one million. This milestone not only signifies Hugging Face's rapid development in the AI field but also reflects the increasing importance of specialized AI solutions. Image source note: The image was generated by AI, image authorized by service provider Midjourney. Hugging Face co-founder Clément Delang

Recently, Amazon's $4 billion investment plan with AI startup Anthropic has finally been approved by the UK's Competition and Markets Authority (CMA). This decision has brought relief to many, as the CMA concluded that the transaction did not significantly impact market competition and therefore did not require further investigation. According to the CMA's report, Anthropic's revenue in the UK is below the threshold for merger scrutiny, and its market share is not significant enough to warrant additional attention.

Recently, a wave of 'Goodbye, Meta AI' has swept across social media platforms. Many users, including high-profile figures such as Tom Brady and musician Cat Power, have taken to Instagram to publish statements aimed at preventing Meta from using their data to train AI models. This phenomenon reflects users' deep concerns about data privacy and the application of AI technology, posing new challenges for tech giants in balancing technological innovation with user rights. Although these statements have no legal binding force, they highlight the growing sentiment among users.

Recently, there have been reports that OpenAI is undergoing a significant business transformation and may transition into a for-profit company. According to Reuters, OpenAI is in talks with investors for a large-scale financing round, with a valuation potentially exceeding $150 billion. This transition is closely related to the company's governance structure, especially after CEO Sam Altman took the helm and mentioned the need to "improve our governance structure." The new business model will enable OpenAI to operate under a "capped profit" model.

OpenAI's new systems have achieved outstanding results in a recent evaluation, securing the top position in chatbot rankings. However, the low number of ratings may distort the evaluation results. According to the published overview, these new systems excelled in all evaluation categories, including overall performance, safety, and technical capability. One system specifically designed for STEM tasks briefly ranked second alongside the GPT-4o version released in early September, leading in the technical field. Chatbot Arena is a platform for